With use and time, body joints deteriorate, mainly as an effect of aging and shocks on the cartilage layer cushioning between bones. The consequences of this deterioration can be serious and cause problems to the regular functioning of the joint. Cases of hip and knee beginning to lose cartilage ...

In the recent years, robotic modules with their associated algorithmic software emerged in the surgery rooms. Here, some of their applications will be reviewed. They are used for orthopedic, brain and cardiac surgeries. Remotely operated robot in the surgery room are surgeon-controlled robots who...

OCR (Optical Character Recognition) modules are being used in robotics. They allow robots to understand text, an essential function in some robotic applications. OCR capability enables robots to handle items identified by imprinted text. Retail applications use robots to identify products on shel...

Robots are already being used in the retail industry. Major applications of such robots will be explained in this article. Some of their functionalities are available today, while other still represent a challenge. Robotics tasks using Machine Vision in Retail Robotic automation can be found in s...

Robots working in industrial applications need visual feedback. This is used to navigate, identify parts, collaborate with humans and fuse visual information with other sensors to enhance their location information. This is the reason for the use of machine vision in industrial applications. Robo...

Robots are used today in many tasks taking a wide range of shapes, starting from human-like to robots that resemble machines. Their mechanical design (as the number of arms or the ability to navigate) is determined by the application they are intended to. One thing is almost common – they u...

Object detection and classification are major challenges for robotic modules. Navigation, Pick and Place and additional robotics activities are based on the ability to recognize object. Recent years has provided a great progress in object detection mainly due to machine learning methods that beca...

Robots have been used in the semiconductor industry for a long time. The functions of robots for semiconductors manufacturing operations are spawn over a wide range of tasks, from mechanical tasks up to intelligent tasks. The latter use machine vision. Defect detection in semiconductors manufactu...

Robots are widely used today in agriculture tasks. Many of these tasks require machine vision algorithms to operate successfully. The robots and their machine vision algorithms change form to best suit their function, starting from fields plowing, seeds planting, weeds handling, growth monitoring...

Precision agriculture describes a collection of engineering methods aimed at providing a rationale and operative management plan for farms, forests, vineyards, and other agricultural endeavors, to minimize the use of resources while maximizing yield. Precision agriculture utilizes advanced hardwa...

Automatic object recognition is a highly challenging task in computer vision. These challenges can be caused by many factors reducing the recognition rate of a given algorithm, such as image blur, non-standard viewing angle of the object, partial occlusion and illumination, to list only a few. Di...

Eyeglasses have been with us since the 13th century, although mass production and affordability to commoner (aside from clerics, scholars and wealthy people) has begun around the onset of the industrial revolution. Once symbolizing old age and degradation, eyeglasses have integrated our life and ...

Animals display a diverse set of behavior, not always well interpreted by humans: some of these behavioral patterns disclose animals’ intensions, needs, and distresses. Thousands of years of animal farming have enabled us to interpret a subset of animal behavior; yet, a large spectrum still remai...

Three-dimensional reconstruction of scene can be viewed as is the reproduction of a depth-map. Thus, as an input we have a sequence of images as input, which their output is distances of each point of the target object from a reference point. There are many ways to reconstruct an object. Starting...

The transportation revolution coming with autonomous cars has already started, involving challenges that require proper handling of advanced technologies and algorithms: deep learning, to name one. . . Autonomous Driving is classified according to 5 Levels, all higher than Level Zero, where no au...

Heart failure is the leading cause of mortality in the western world. Routine examination in clinics can greatly reduce the risk of heart failure by recognizing early symptoms, correcting classification and assigning appropriate treatment. Monitoring the heart during a clinic visit can shed light...

One ml of human blood contains roughly 5 million red blood cells. This huge quantity is only a fraction of what is found in one ml of blood, which contains roughly 60% fluid (plasma) and the remaining white cells, red blood cells and platelets. The composition of blood is examined routinely in ho...

Reconstruction of the three-dimensional surface of an object based on single view 2-D sequence of images is a highly challenging task. Challenges stem in part from the construction of a template representing the object, or more formally, incorporating knowledge to restrict the shape space. The po...

Modern imaging knows how to capture an image to see through the eye tissue transparency and inspect retina, vasculature and neural tissue: this phenomenon is unique and it is made possible by the fact that the retina is an extension of the central nervous system (CNS), connected with the optic ne...